Business · PyPI

consistent-rag

ConsistentRAG: Improving factual consistency in RAG through knowledge graph grounding and multi-agent refinement

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Details

Author
Seb
GitHub profile
@pinkfloydsito
Category
Business
Platform
PyPI
GitHub
https://github.com/pinkfloydsito/consistent-rag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@pinkfloydsito

Overview

ConsistentRAG: Improving factual consistency in RAG through knowledge graph grounding and multi-agent refinement

Quick start

pip

pip install consistent-rag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What consistent-rag can do

agentllmragmulti-agentagentic
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Multi Agent — multi-agent task automation.
  • Agentic — agentic task automation.

Frequently asked questions

What is consistent-rag?
ConsistentRAG: Improving factual consistency in RAG through knowledge graph grounding and multi-agent refinement
How do I install consistent-rag?
Use pip: `pip install consistent-rag`. Full setup details on the source page linked above.
Is consistent-rag open source?
consistent-rag is published on PyPI.
What are alternatives to consistent-rag?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for consistent-rag is sourced from PyPI, published by Seb.

Last scraped: · First indexed:

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